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Senior Business Intelligence Analyst

Remote

£70,000 – £90,000

Looking for a Business Intelligence Analyst role where your insights directly influence business decisions? This is an opportunity to join a fastgrowing digital business where data sits at the heart of strategy, product development, and commercial growth. You’ll work across multiple business functions, delivering actionable insights and building reporting solutions that drive measurable impact.

The Company

This organisation is an innovative digital business experiencing significant growth and expansion. They have built a strong data-driven culture where analytics plays a central role in shaping decision-making across the organisation. With a collaborative and ambitious environment, they offer the opportunity to work on high-impact projects alongside stakeholders across product, commercial, marketing, and operational teams. As they continue to scale, data and analytics remain a key investment area.

The Role

As a BI Analyst, you will bridge the gap between business challenges and data-driven solutions, helping stakeholders make smarter decisions through analysis, reporting, and strategic insight.

Responsibilities include:

• Translating business questions into structured analytical projects and actionable recommendations
• Building and maintaining high-quality dashboards and reporting solutions
• Creating self-service analytics tools that empower stakeholders to access insights independently
• Partnering with teams across Product, Growth, Commercial, and Operations
• Identifying trends, risks, and opportunities through detailed data analysis
• Communicating findings effectively to both technical and non-technical audiences
• Supporting experimentation, customer insight projects, and broader strategic initiatives
• Contributing to the development of data best practices and analytics capabilities across the business

Your Skills & Experience

• Strong commercial experience in data analytics
• Experience in the gambling or gaming sector.
• Advanced SQL skills and excellent analytical problem-solving capability
• Strong business intelligence experience, ideally with tools such as Omni, Looker, or similar platforms
• Experience building dashboards from stakeholder discovery through to implementation and optimisation
• Ability to turn complex data into clear stories and recommendations
• Experience influencing stakeholders across multiple functions
• Strong communication and relationship-building skills
• Comfortable working in a fast-paced, evolving environment
• Exposure to Python, dbt, or analytics engineering would be beneficial
• Experience within online gaming, betting, entertainment, or consumer digital businesses is advantageous

What They Offer

• Salary between £70,000 and £90,000
• Fully remote working across the UK
• Private healthcare package
• Income protection cover
• Enhanced holiday allowance with tenure-based increases
• Home office setup support
• Additional salary sacrifice and employee discount schemes
• Regular team events and collaborative development opportunities
• The chance to play a key role in shaping analytics within a growing business

How to Apply

If you’re a commercially focused Senior BI Analyst looking for a high-impact remote opportunity, apply today through Harnham to learn more.

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Data Engineer

Up to £45,000 + Benefits
Liverpool (Hybrid, 1 day per week in the office)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and maintaining data pipelines across a modern Microsoft and cloud-based data platform. You’ll work within a growing Data Engineering team and play a key role in shaping the future of the company’s data infrastructure.

THE COMPANY:

Our client delivers a wide range of services designed to transform people’s lives and strengthen communities. As the organisation continues investing in its data capabilities, they are expanding their Data Engineering team.

THE ROLE:

You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include:

• Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
• Developing and supporting data warehousing solutions and dimensional data models.
• Creating and optimising datasets to support reporting, analytics, and business insights.
• Supporting the ongoing migration and development of solutions within Microsoft Fabric.
• Collaborating with analysts and stakeholders to deliver high-quality, trusted data assets and documentation.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data engineering experience, ideally 1-2 years in a dedicated engineering role.
• Building and maintaining ETL / ELT pipelines.
• Data warehousing concepts and dimensional modelling.
• Strong SQL skills and experience working within cloud-based data environments.

THE BENEFITS:

You will receive a salary of up to £45,000 depending on experience, along with an excellent benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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To Apply for this Job Click Here

Junior Data Engineer
up to £55,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to join a data consultancy working across marketing, media, and customer data. You’ll work directly with clients, deliver analytics projects, and help turn data into clear business recommendations. This role requires hands on SQL as well as marketing analytics experience.

The Company
They are a data and analytics consultancy supporting organisations with measurement, reporting, and insight. Their work spans marketing analytics, digital measurement, data strategy, and reporting. The team works closely with clients to solve business challenges using data.

The Role
In this role they are looking for agency/consultancy background, SQL and experience working acorss customer and marketing analytics.

You will:
* Lead analytics projects and act as the main point of contact for clients
* Build dashboards and reports using Power BI, Tableau, or Looker Studio
* Analyse campaign performance across digital marketing channels
* Design and implement measurement frameworks and attribution approaches
* Manage GA4 and Google Tag Manager implementations
* Write SQL queries to extract and analyse data
* Use Python or R to automate reporting and analysis processes
* Support data quality, tracking, and governance initiatives
* Present insights and recommendations to stakeholders

Your Skills & Experience
* Strong commercial experience in data analytics or digital analytics
* Advanced SQL skills
* Experience using Python or R for analysis and automation
* Hands-on experience with GA4 and Google Tag Manager
* Knowledge of paid media reporting across platforms such as Google Ads, Meta, and TikTok
* Experience building dashboards and visualisations
* Ability to communicate technical findings to non-technical stakeholders

Desirable experience but not essential:
* Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA)
* BigQuery, Snowflake, or other cloud data platforms
* Customer Data Platforms (CDPs)
* Data privacy and consent management frameworks

Apply today with your CV to find out more about this Data Consultant opportunity.

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Data Engineer
London (1 day per month in office)
Up to £60,000 + Benefits

This is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You’ll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.
The Company
They are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.
The Role
You will:

• Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
• Design and optimise data models to support reporting and analytics requirements.
• Create scalable data assets that enable business teams to generate actionable insights.
• Implement data quality controls, validation processes, and error handling to ensure data integrity.
• Work closely with stakeholders to understand requirements and deliver impactful data solutions.
• Contribute to the continued development of reporting and analytics capabilities across the business.

Your Skills & Experience

• Strong commercial experience in data engineering and data integration.
• Hands-on experience with DBT.
• Advanced SQL skills for data transformation and automation.
• Experience working with Snowflake and cloud-based data platforms.
• Strong understanding of data modelling and data warehousing concepts.
• Experience building dashboards and reports using Power BI.
• Knowledge of data quality assurance, validation processes, and troubleshooting.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Salary up to £60,000.
• Comprehensive benefits package.
• Hybrid working with just one day per month in the London office.
• Opportunity to work with modern data technologies in a growing data function.
• Clear opportunities for career progression and professional development.
• The chance to shape data solutions that deliver measurable business impact.

To Apply for this Job Click Here

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Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.

The Role
You will:

• Build, validate and deploy machine learning and statistical models
• Work with Python, SQL, Databricks and PySpark to analyse large datasets
• Solve pricing and risk-related business challenges
• Explore new data sources and test innovative ideas
• Own projects from problem definition through to implementation
• Present insights to technical and non-technical stakeholders
• Support and mentor junior Data Scientists

Your Skills & Experience

• Strong commercial Data Science experience
• Advanced Python and SQL skills
• Experience with Databricks and/or PySpark
• Knowledge of machine learning techniques such as XGBoost and LightGBM
• Strong statistical modelling capability
• Excellent problem-solving and stakeholder management skills
• Experience in insurance, financial services, or another regulated environment is advantageous

To Apply for this Job Click Here

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The Opportunity

A global subscription-led business is seeking a Senior Analyst to join its Analytics & Insights team.

This role focuses on understanding subscriber/customer behaviour and performance across multiple international markets. You’ll work with stakeholders across commercial, marketing and product teams to provide insights that support customer acquisition, retention and engagement strategies.

The successful candidate will be comfortable working with large datasets, designing analytical approaches to answer business questions, and presenting findings in a clear and actionable way.

Key Responsibilities

• Analyse subscriber growth, retention and engagement trends, providing recommendations to support business objectives.
• Translate complex data into clear insights for a range of stakeholders.
• Design and evaluate experiments using robust statistical methodologies.
• Develop and maintain dashboards, reports and visualisations to monitor performance.
• Support the adoption of self-service analytics and data-informed decision making.
• Identify opportunities to improve reporting processes and analytical workflows.
• Build strong relationships with stakeholders across different functions and markets.
• Manage and prioritise analytical requests, ensuring timely delivery of insights.

Skills & Experience

• Previous experience in an analytics, insights or business intelligence role.
• Strong stakeholder management and communication skills, with the ability to influence decision making through data.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using visualisation tools such as Tableau, Power BI or Looker.
• Strong understanding of statistical techniques, including hypothesis testing, regression analysis and experimentation.
• Experience using Python, R or another statistical programming language.
• Ability to work independently and manage multiple priorities.
• Experience using AI tools to improve analytical workflows would be beneficial.

Benefits

• 25 days annual leave
• Private medical insurance

Apply

If you’re looking for a role where you can use data to help shape commercial decisions and customer strategy within a large-scale subscription business, we’d be keen to hear from you.

To Apply for this Job Click Here

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Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.

The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.

The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value

Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products

What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives

How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

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Senior Data Analyst

Up to £90,000
Fully Remote (UK)

I’m hiring a Senior Data Analyst for a fast-growing, product-led betting business where analytics sits at the heart of decision-making.

This is a broad, commercially focused analytics role for someone who can combine strong SQL, stakeholder engagement, and BI expertise to help shape product, growth, customer, and commercial decisions. You’ll be joining a business with a highly mature analytics environment, a modern data stack, and a genuine appetite for data-driven decision making.

The role

You’ll sit within the Analytics team, reporting into the Analytics Manager, and act as a senior individual contributor supporting stakeholders across:

• Product
• Growth
• Commercial
• Trading
• Sportsbook
• Casino

This role isn’t about being given perfectly defined briefs.

They’re looking for someone who can take vague business questions, understand what stakeholders are really trying to solve, and translate those challenges into structured analytical approaches and meaningful recommendations.

What you’ll be doing

• Build and improve BI reporting and self-serve analytics capabilities using Omni.
• Translate stakeholder requests into clear analytical frameworks and delivery plans.
• Support strategic projects including customer intelligence, segmentation, lifecycle engagement, and experimentation.
• Create dashboards, tools, and analysis that help stakeholders answer questions independently.
• Partner closely with Product, Growth, Commercial, Trading, Casino and Sportsbook teams.
• Identify opportunities, risks, and behavioural trends within customer and commercial data.
• Support experimentation and A/B testing initiatives.
• Help raise BI standards and improve analytical maturity across the organisation.

The team

You’ll join a growing analytics function and work alongside a team of Senior Data Analysts, an Analytics Manager, a BI Analyst and Analytics Engineering support.

The wider team is focused on:

• Customer intelligence
• Product analytics
• Experimentation
• Self-serve analytics
• Commercial performance
• Growth analytics

This role is expected to operate with a high degree of autonomy and ownership

What they’re looking for

Must-haves

• 5+ years’ experience in data analytics.
• Advanced SQL skills.
• Strong BI experience (ideally Looker, Omni, or similar semantic-layer tools).
• Experience building dashboards and self-serve analytics solutions.
• Strong stakeholder engagement and communication skills.
• Ability to independently structure and deliver analytical work.
• Experience influencing business decisions through insight and recommendations.

Strongly preferred

• Betting, gaming, gambling, fintech, travel, marketplace, or other high-frequency consumer environments.
• Experimentation and A/B testing experience.
• Customer, product, or growth analytics experience.

Nice to have

• dbt exposure
• Python experience
• Conversational or natural-language analytics exposure

What success looks like

Within the first 6-12 months you’ll:

• Build trusted relationships across Product, Growth and Commercial teams.
• Improve reporting quality and consistency.
• Deliver self-serve tools that reduce reactive requests.
• Make a meaningful contribution to customer intelligence initiatives.
• Deliver analysis that influences real commercial decisions.

Why this role?

• Fully remote working
• Modern analytics stack
• Strong product and growth culture
• Significant ownership and autonomy
• Opportunity to shape the future of BI and self-serve analytics
• Exposure to experimentation, customer intelligence, and new market expansion
• High-growth environment where data genuinely influences decision-making

Package

• Up to £90,000 salary
• Private health insurance
• Income protection
• Enhanced holiday allowance
• Fully supported home office setup
• Retail discounts and perks
• Quarterly socials
• Strong progression opportunities into strategic analytics roles

Interview process

1. Introductory discussion with the Analytics Manager
2. Technical case study and panel interview

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